Making Self-Driving Next Generation
Helping Service Providers to reduce network management complexity
and operational costs with AI-powered analytics solutions.
Take your network to the next level
AI-Powered Use Cases | Augmented Analytics | Actuation | Automation
Pro-Active Care
- Automatic Prediction of Customer´s Complaints
- Next Best Action
- AI/ML Models for NPS Prediction and Improvement
Take your network to the next level
AI-Powered Use Cases | Augmented Analytics | Actuation | Automation
Pro-Active Care
- Automatic Prediction of Customer´s Complaints
- Next Best Action
- AI/ML Models for NPS Prediction and Improvement
Why our customers choose Zhilabs
Why our customers choose Zhilabs
Key Fundamentals
Big Data Analytics + Artificial Intelligence
Zhilabs solutions leverages Big Data architecture to manage real-time and batch data from millions of customers in the network, offering Service Providers an open environment which can be easily integrated with their data-lakes and BI tools.
Machine Learning and Artificial Intelligence algorithms are part of Zhilabs’ DNA to extract key patterns from the data and translate them into groundbreaking use cases for network prediction and automation.
Cloud-Native
Based on micro-services, containers and stateless architectures, Zhilabs solutions
allow flexible deployments which can be run on public, private or hybrid clouds
boosting time-to-market and creating auto-scalable, elastic and on-demand
applications.
Multi-Technology and Multi-Domain
No more partial analytics tools, Zhilabs offers true convergence solutions with cross-domain visibility among different mobile (2G/3G/4G/5G) and fixed access (xDSL, FTTx, Cable) technologies, offering Service Providers to unify all their data analytics under a single common platform.
Multi-technology and Multi-Domain
No more partial analytics tools, Zhilabs offers true convergence solutions with cross-domain visibility among different mobile (2G/3G/4G/5G) and fixed access (xDSL, FTTx, Cable) technologies, offering Service Providers to unify all their data analytics under a single common platform.
